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超快二维核磁共振数据的交错傅里叶变换

Interlaced Fourier transformation of ultrafast 2D NMR data.

作者信息

Mishkovsky Mor, Frydman Lucio

机构信息

Department of Chemical Physics, Weizmann Institute of Science, 76100 Rehovot, Israel.

出版信息

J Magn Reson. 2005 Apr;173(2):344-50. doi: 10.1016/j.jmr.2005.01.007.

DOI:10.1016/j.jmr.2005.01.007
PMID:15780928
Abstract

A new protocol for processing the data arising in ultrafast 2D NMR is discussed and exemplified, based on the interlaced Fourier transformation. This approach is capable of dealing in a single, combined fashion, with the two mirror-imaged interferograms arising in this kind of experiment as a result of the acquisition of a train of magnetic field gradient echoes. By combining all the acquired data points into a common Fourier processing procedure the spectral width along the direct-acquisition domain becomes effectively doubled, giving the opportunity of employing acquisition gradients that are approximately half as strong as hitherto required. This in turn should lead to an overall enhancement in the signal-to-noise ratio of the experiment of ca. 2, as well as to improvements in the achievable digital resolution. These expectations were tested by carrying out a series of homo- and heteronuclear ultrafast 2D NMR acquisitions, and found systematically fulfilled. The robustness and conditions that allow the interlaced numerical procedure to be implemented in routine analytical applications were explored and are briefly discussed.

摘要

基于交错傅里叶变换,讨论并举例说明了一种处理超快二维核磁共振中产生的数据的新协议。这种方法能够以单一的组合方式处理由于采集一系列磁场梯度回波而在这类实验中出现的两个镜像干涉图。通过将所有采集到的数据点组合到一个共同的傅里叶处理过程中,沿直接采集域的光谱宽度有效地加倍,从而有机会使用强度约为迄今所需强度一半的采集梯度。这反过来应该会使实验的信噪比总体提高约2倍,同时也会提高可实现的数字分辨率。通过进行一系列同核和异核超快二维核磁共振采集对这些预期进行了测试,并发现它们得到了系统的满足。探索并简要讨论了允许在常规分析应用中实施交错数值程序的稳健性和条件。

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引用本文的文献

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J Biomol NMR. 2016 Oct;66(2):141-157. doi: 10.1007/s10858-016-0063-8. Epub 2016 Sep 28.
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Ultrafast 2D NMR: an emerging tool in analytical spectroscopy.超快二维核磁共振:分析光谱学中的一种新兴工具。
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Compressed sensing and the reconstruction of ultrafast 2D NMR data: Principles and biomolecular applications.
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